Scientific Publishing and Developer APIs

Rafael Sidi loves to quote Bob Dylan’s song ‘The times they are a-changing”… Certainly in the scientific publishing developer APIs world.

For years there were APIs available from the scientific abstracts databases Scopus, WoS, PubMed, etc.

Last year Elsevier launched SciVerse Application Marketplace that provides developers APIs (Application Programming Interface) to build applications that will integrate into the SciVerse suite of products (ScienceDirect, Scopus, Hub). Some examples –

  • SciverNote:  allows you to save ScienceDirect article abstracts and/or references to Evernote®
  • Top Reviews:  find the most relevant review articles in your Scopus search results
  • iSpeech Audio Reader: This one is pretty cool – reads your ScienceDirect articles aloud
Check out the current Applications Gallery.
You may also want to check out what Nature will be launching soon. This appears to be limited to Search APIs, scientific bookmarking tool (Connotea) APIs, and the social networking site (Nature Network) APIs. There’s a nice presentation (embedded below) put together by Chandran Honour that lays out the api landscape in scientific publishing (Oct 25, 2011)
PLoS has already announced their APIs for search and Article Metrics earlier this year. Springer has announced APIs to their Images database, APIs to the metadata for their journal/book content and API to query their OpenAccess content.
There are probably several that I haven’t mentioned here.
These are exciting times and it will be interesting to see if some understanding develops across publishers to standardize APIs. In the end the goal is to enable researchers to create solutions that are specific to their needs and hopefully help advance scientific research.
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Elsevier Introduces Protein Interaction Browser

The Protein Interaction Browser allows readers to view and interactively explore protein-protein interaction PPI networks for all proteins in a scientific paper. The browser is currently available for the Elsevier-published journal FEBS Letters.

via Elsevier.

What Is Your Mental Model? – Boxes and Arrows: The design behind the design

Old article but nice interview on UX… This quote caught my attention

Customers are just thinking about their reactions to the tool. They are not trying to squeeze water out of a water bottle, they are trying to quench their thirst. Of course you want to listen to them, but at the same time you want to interpret.

via What Is Your Mental Model? – Boxes and Arrows: The design behind the design.

Accelerate Science

Elsevier is integrating the world’s most trusted scientific content from ScienceDirect and Scopus into a single platform with productivity-driving enhancements. View this short video to learn more.

via Accelerate Science.

The future belongs to the companies and people that turn data into products

Are you looking at your hidden assets, how usage of your data creates new data? Are you mining it and creating newer products? This post speaks to all of us. It also talks about

The future belongs to the companies who figure out how to collect and use data successfully. Google, Amazon, Facebook, and LinkedIn have all tapped into their datastreams and made that the core of their success. They were the vanguard, but newer companies like bit.ly are following their path. Whether it’s mining your personal biology, building maps from the shared experience of millions of travellers, or studying the URLs that people pass to others, the next generation of successful businesses will be built around data. The part of Hal Varian’s quote that nobody remembers says it all: The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.Data is indeed the new Intel Inside.

via What is data science? – O’Reilly Radar.

Data science democratized

Interesting post. I always wondered how people might use all the scatter diagrams and other data visualization graphs that are available in various scientific fields. Here’s a thought from Mac Slocum at O’Reilly radar.

Significant implications emerge when you can bounce a question, even an innocuous one, against a huge storehouse of data. If someone like me can plug questions into a system and have it do the same kind of processing once reserved for a skilled minority, that will inspire me to ask a lot more questions. It’ll inspire a lot of other people to ask questions, too. And some of those questions might even be important.

via Data science democratized – O’Reilly Radar.

CloudCourse: An Enterprise Application in the Cloud – Love it

It would be silly to say i’m jealous but its like they know what’s on my mind. To paraphrase a known commercial… This was my idea 🙂

Provide educators a personalized way to prepare course material for their class and students. I think this is now possible with CloudCourse: An Enterprise Application in the Cloud

via CloudCourse: An Enterprise Application in the Cloud – Google Open Source Blog.

Congrats Google!!